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Data Analysis and Knowledge Discovery  2022, Vol. 6 Issue (8): 97-109    DOI: 10.11925/infotech.2096-3467.2021.1266
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Early-warning Model for Undergraduate Public Opinion with Dynamic Evolution
Li Chuan1,2,Zhu Xuefang1(),Fu Ziyuan1
1School of Information Management, Nanjing University, Nanjing 210023, China
2School of Management Science and Engineering, Anhui University of Finance and Economics, Bengbu 233030, China
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Abstract  

[Objective] This paper tries to examine the social evolution analysis and System Dynamics for early warning strategies of undergraduates’ public opinion administration. [Methods] We conducted system analysis for public opinion based on user behavior theory. We analyzed the mechanism among undergraduates, official institutions, Internet environment, public opinion elements and social media with System Dynamics (SD). Finally, we built a new SD model for the early warning system of public opinion. [Results] We evaluated our model with three simulation experiments. The influence range of control elements was verified, while the control effect of credibility was falsified. Compared with other fuzzy cognitive models, our algorithm’s ACR increased by 1.4% and the CPT reduced by 50%. [Limitations] Extracting related factors depends on the research object and environmental evolution, and our model needs to be continuously optimized in the future. [Conclusions] The proposed model creates an early warning mechanism for public opinion from the undergraduate communities.

Key wordsPublic Opinion for Undergraduates      Forewarning Analysis      System Dynamics      Simulation Experiment     
Received: 05 November 2021      Published: 20 December 2021
ZTFLH:  G202  
Fund:Key Program of University Science Research Project of Anhui Province(SK2021A0252);Science Research Project of Anhui University of Finance and Economics(ACKYC21057)
Corresponding Authors: Zhu Xuefang,ORCID:0000-0002-8244-5999     E-mail: xfzhu@nju.edu.cn

Cite this article:

Li Chuan, Zhu Xuefang, Fu Ziyuan. Early-warning Model for Undergraduate Public Opinion with Dynamic Evolution. Data Analysis and Knowledge Discovery, 2022, 6(8): 97-109.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.2096-3467.2021.1266     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2022/V6/I8/97

Operation Mechanism of Undergraduates’ Public Opinion
Official Function Subsystem
Public Opinion Dissipation Subsystem
Virtual Community Subsystem
Social Media Subsystem
Forewarning SD Model of Undergraduates’ Public Opinion
时段 病例
新增数
主题数 信息发布数量 浏览量
社会媒体 官方机构
6.11-6.15 135 305 798 233 3.13×106
6.16-6.20 155 572 122 414 7.26×106
6.21-6.25 95 315 434 635 2.74×106
6.26-6.30 82 180 573 758 1.53×106
Public Opinion Statistics on Epidemic Closure in Mid and Late June 2020
Comparison of Information Publishing of Undergraduates’ Public Opinion
参数 SD 模型 多级模糊认知模型
精确度 0.847 0.835
响应时间 83 s 167 s
定义域 大学生舆情 多场景网络信息
Simulation Effects Between SD Model and Multi-FC Model
Trend of Undergraduates’ Public Opinion Influence
Impact of Forewarning Mechanism on Public Opinion
Impact of Official Credibility on Public Opinion
Impact of Event Attributes on Public Opinion
[1] 中国互联网络信息中心. 第47次中国互联网络发展状况统计报告[R/OL]. (2021-02-03). [2021-05-26]. http://www.cac.gov.cn/2021-02/03/c_1613923423079314.htm.
[1] (China Internet Network Information Center. The 47th China Statistical Report on Internet Development[R/OL]. (2021-02-03). [2021-05-26]. http://www.cac.gov.cn/2021-02/03/c_1613923423079314.htm.)
[2] 顾丽梅. 政府治理视野下的网络社团:角色与挑战[J]. 江西社会科学, 2013, 33(4):171-175.
[2] (Gu Limei. Network Associations from the Perspective of Government Governance: Roles and Challenges[J]. Jiangxi Social Sciences, 2013, 33(4):171-175.)
[3] 张大权, 朱泓飞, 孙笑. 基于扎根理论的高校新媒体平台信息用户持续关注行为影响因素分析[J]. 情报科学, 2021, 39(3): 113-119.
[3] (Zhang Daquan, Zhu Hongfei, Sun Xiao. Analysis on the Influencing Factors of Information Users’ Continuous Attention Behavior of University New Media Platform Based on Grounded Theory[J]. Information Science, 2021, 39(3): 113-119.)
[4] 刘树琪. 大学生网络素养现状分析及培育途径探讨[J]. 学校党建与思想教育, 2016(1):57-58.
[4] (Liu Shuqi. Analysis on the Current Situation of Undergraduates’ Network Literacy and Discussion on the Cultivation Ways[J]. The Party Building and Ideological Education in Schools, 2016(1):57-58.)
[5] 张争伟, 周骏, 孙长月. 大学生网络素养现状及培育途径研究[J]. 陕西教育(高教), 2018(10):78-79.
[5] (Zhang Zhengwei, Zhou Jun, Sun Changyue. The Current Situation of Undergraduates’ Network Literacy and Discussion on the Cultivation Ways[J]. Shaanxi Education, 2018(10):78-79.)
[6] 黄少宽, 李波, 黄晓斌. 大学生对网络谣言的认知态度与信息素质教育[J]. 情报探索, 2017(8): 32-37.
[6] (Huang Shaokuan, Li Bo, Huang Xiaobin. Cognition Attitude of University Student on Internet Rumors and Information Literacy Education[J]. Information Research, 2017(8): 32-37.)
[7] 黄微, 徐烨, 肖维泽. 基于知识图谱的国内网络舆情危机响应研究的可视化分析[J]. 情报科学, 2018, 36(3): 64-69.
[7] (Huang Wei, Xu Ye, Xiao Weize. Visualization Analysis of Crisis Response of Online Public Opinion in China Based on Mapping Knowledge Domain[J]. Information Science, 2018, 36(3): 64-69.)
[8] 顾赟, 林丹. 高校网络舆情视域下的大学生思想政治教育[J]. 教育与职业, 2016(15):40-42.
[8] (Gu Yun, Lin Dan. Ideological and Political Education of Undergraduates from the Perspective of Network Public Opinion in Universities[J]. Education and Vocation, 2016(15): 40-42.)
[9] Bachner J, Hill K W. Advances in Public Opinion and Policy Attitudes Research[J]. Policy Studies Journal, 2014, 42: S51-S70.
doi: 10.1111/psj.12052
[10] 陈福集, 黄江玲. 我国网络舆情演变文献研究综述[J]. 情报杂志, 2013, 32(7):54-58.
[10] (Chen Fuji, Huang Jiangling. Metrology Analysis on the Study of Online Public Opinions Evolution in China[J]. Journal of Intelligence, 2013, 32(7):54-58.)
[11] Chen H C, Chiang R H L, Storey V C. Business Intelligence and Analytics: From Big Data to Big Impact[J]. MIS Quarterly, 2012, 36(4): 1165.
doi: 10.2307/41703503
[12] 夏火松, 甄化春. 大数据环境下舆情分析与决策支持研究文献综述[J]. 情报杂志, 2015, 34(2): 1-6.
[12] (Xia Huosong, Zhen Huachun. Public Opinion Analysis and Decision Support Study under Big Data Surroundings[J]. Journal of Intelligence, 2015, 34(2): 1-6.)
[13] 田依林, 李星. 基于事理图谱的新冠肺炎疫情网络舆情演化路径分析[J]. 情报理论与实践, 2021, 44(3): 76-83.
[13] (Tian Yilin, Li Xing. Analysis on the Evolution Path of COVID-19 Network Public Opinion Based on the Event Evolutionary Graph[J]. Information Studies: Theory & Application, 2021, 44(3): 76-83.)
[14] 刘倩. 舆情核心要素与大学生舆情演化的关联性分析[J]. 传播力研究, 2019, 3(19): 233.
[14] (Liu Qian. Analysis on the Relationship Between the Core Elements and the Evolution of Undergraduates’ Public Opinion[J]. Research on Transmission Competence, 2019, 3(19): 233.)
[15] 齐丽云, 李晓鸿, 曹硕. 企业社会责任负面事件网络舆情演化与政企合作研究[J]. 系统工程理论与实践, 2020, 40(7): 1792-1805.
doi: 10.12011/1000-6788-2019-0156-14
[15] (Qi Liyun, Li Xiaohong, Cao Shuo. A Research on the Evolution of Net-Mediated Public Sentiment in Corporate Social Responsibility Negative Events and Government-Enterprise Cooperation[J]. Systems Engineering-Theory & Practice, 2020, 40(7): 1792-1805.)
doi: 10.12011/1000-6788-2019-0156-14
[16] Sánchez H, Aguilar J, Terán O, et al. Modeling the Process of Shaping the Public Opinion Through Multilevel Fuzzy Cognitive Maps[J]. Applied Soft Computing, 2019, 85: 105756.
doi: 10.1016/j.asoc.2019.105756
[17] Zhu H, Hu B. Impact of Information on Public Opinion Reversal—An Agent Based Model[J]. Physica A: Statistical Mechanics and Its Applications, 2018, 512: 578-587.
doi: 10.1016/j.physa.2018.08.085
[18] 张海涛, 王丹, 徐海玲, 等. 基于卷积神经网络的微博舆情情感分类研究[J]. 情报学报, 2018, 37(7):695-702.
[18] (Zhang Haitao, Wang Dan, Xu Hailing, et al. Sentiment Classification of Micro-blog Public Opinion Based on Convolution Neural Network[J]. Journal of the China Society for Scientific and Technical Information, 2018, 37(7):695-702.)
[19] 吕朝辉, 程子恒. 重大疫情防控中的网络舆情及其信息治理策略——基于“弹簧”动力模型分析[J]. 情报杂志, 2021, 40(1):150-156.
[19] (Lyu Zhaohui, Cheng Ziheng. Pandemic Control and Prevention of Network Public Opinion and Its Information Management Strategy: Analysis Based on “Spring” Dynamic Model[J]. Journal of Intelligence, 2021, 40(1):150-156.)
[20] 杨洋洋, 谢雪梅. 信息技术、经济发展与政府舆情治理效率——基于三阶段DEA模型的实证分析[J]. 现代情报, 2021, 41(3):159-167.
[20] (Yang Yangyang, Xie Xuemei. Information Technology, Economic Development and Government Public Opinion Governance Efficiency——Empirical Analysis Based on Three-stage DEA Model[J]. Journal of Modern Information, 2021, 41(3):159-167.)
[21] 张秀红, 郭云. 大学生网络舆情与高校管理[J]. 新疆大学学报(哲学·人文社会科学版), 2013, 41(4): 38-40.
[21] (Zhang Xiuhong, Guo Yun. The Internet-Mediated Public Sentiment of the Undergraduates and the Administration of Colleges[J]. Journal of Xinjiang University(Philosophy,Humanities & Social Sciences), 2013, 41(4): 38-40.)
[22] 邓建高, 张璇, 傅柱, 等. 基于系统动力学的突发事件网络舆情传播研究:以“江苏响水爆炸事故”为例[J]. 数据分析与知识发现, 2020, 4(2): 110-121.
[22] (Deng Jiangao, Zhang Xuan, Fu Zhu, et al. Tracking Online Public Opinion Based on System Dynamics: Case Study of “Xiangshui Explosion Accident”[J]. Data Analysis and Knowledge Discovery, 2020, 4(2): 110-121.)
[23] 姚乐野, 吴茜, 李明. 新冠肺炎疫情微博舆情传播的网络结构分析[J]. 图书情报工作, 2020, 64(15):123-130.
doi: 10.13266/j.issn.0252-3116.2020.15.015
[23] (Yao Leye, Wu Xi, Li Ming. Analysis of the Network Structure of the Spread of Public Opinion on Microblog in the Outbreak of COVID-19[J]. Library and Information Service, 2020, 64(15):123-130.)
doi: 10.13266/j.issn.0252-3116.2020.15.015
[24] 李菲, 柯平, 高海涛, 等. 基于社会网络分析的新媒体网络舆情传播监管研究[J]. 情报科学, 2017, 35(10): 138-141.
[24] (Li Fei, Ke Ping, Gao Haitao, et al. Study of Network Public Opinion Transmission & Supervision in New Media Based on Social Network Analysis[J]. Information Science, 2017, 35(10): 138-141.)
[25] 李菲, 柯平, 高海涛, 等. 基于社会网络分析的移动舆情传播模式及监管策略研究[J]. 现代情报, 2017, 37(9): 97-102.
[25] (Li Fei, Ke Ping, Gao Haitao, et al. Study of Network Public Opinion Transmission & Supervision in New Media Based on Social Network Analysis[J]. Journal of Modern Information, 2017, 37(9): 97-102.)
[26] 王玉珠. 突发事件中的大学生舆情传播分析[J]. 网络财富, 2010(24): 13-14.
[26] (Wang Yuzhu. Analysis of Undergaraduates’ Public Opinion Transmission in Emergencies[J]. Intemet Fortune, 2010(24):13-14.)
[27] 刘天航, 靳振华, 林波. 全媒体发展背景下的大学生舆情引导与危机应对[J]. 吉林农业科技学院学报, 2016, 25(2):50-52.
[27] (Liu Tianhang, Jin Zhenhua, Lin Bo. Guidance and Methods to Crisis of Public Opinion in Colleges with Omnimedia[J]. Journal of Jilin Agricultural Science and Technology University, 2016, 25(2): 50-52.)
[28] 刘勇, 黄杨森. 网络话语权与重大群体事件网络舆情引导策略研究[J]. 行政论坛, 2018, 25(4): 25-30.
[28] (Liu Yong, Huang Yangsen. Internet Discourse Power and Guiding Strategies of Internet Public Opinion in Major Mass Incidents[J]. Administrative Tribune, 2018, 25(4):25-30.)
[29] 蒋华林, 陈金龙. 重大疫情应对的网络舆情引导:动因、价值与方法[J]. 思想教育研究, 2020(3): 49-54.
[29] (Jiang Hualin, Chen Jinlong. Internet Public Opinion Guidance in Combating Serious Epidemics: Motivation, Value and Method[J]. Studies in Ideological Education, 2020(3):49-54.)
[30] 赵林云. 重大突发事件中网络舆情引导的基本原则[J]. 人民论坛, 2020(27):116-117.
[30] (Zhao Linyun. Basic Principles of Network Public Opinion Guidance in Emergencies[J]. People’s Tribune, 2020(27):116-117.)
[31] 林双双. 大学生网络舆情引导研究——以上海市部分高校为例[D]. 上海: 华东师范大学, 2016.
[31] (Lin Shuangshuang. The Research on the Guidance of University Students’ Network Public Opinion —Taking the University Students of Shanghai as the Example[D]. Shanghai: East China Normal University, 2016.)
[32] 刘毅. 略论网络舆情的概念、特点、表达与传播[J]. 理论界, 2007(1):11-12.
[32] (Liu Yi. Study on the Concept, Characteristics, Expression and Transmission of Network Public Opinion[J]. Theory Horizon, 2007(1):11-12.)
[33] Swanson J. Business Dynamics—Systems Thinking and Modeling for a Complex World[J]. Journal of the Operational Research Society, 2002, 53(4): 472-473.
doi: 10.1057/palgrave.jors.2601336
[34] 蒋畅和, 刘祖德, 赵云胜. 基于系统动力学的安全经验仿真试验研究[J]. 安全与环境工程, 2012, 19(4):97-101.
[34] (Jiang Changhe, Liu Zude, Zhao Yunsheng. Simulation Study on Safety Experience Based on System Dynamics[J]. Safety and Environmental Engineering, 2012, 19(4):97-101.)
[35] 沈斌. 基于系统动力学的安全生产监管有效性研究[J]. 中国安全科学学报, 2012, 22(5): 85-91.
[35] (Shen Bin. Study on Safety Production Regulation Effectiveness Based on System Dynamics[J]. China Safety Science Journal, 2012, 22(5): 85-91.)
[36] 李川, 袁红卫, 方志耕, 等. 多媒体竞争情报的博弈系统动力学模型研究——虚拟产品代理问题[J]. 情报学报, 2016, 35(3):284-292.
[36] (Li Chuan, Yuan Hongwei, Fang Zhigeng, et al. Research on the Game SD Model of the Multimedia Competitive Intelligence: Virtual Product Agent[J]. Journal of the China Society for Scientific and Technical Information, 2016, 35(3):284-292.)
[37] 余乐安, 李玲, 戴伟, 等. 危化品水污染事件中政府危机信息公布策略与网络舆情扩散研究:基于多主体模型[J]. 管理评论, 2016, 28(8): 175-185.
[37] (Yu Lean, Li Ling, Dai Wei, et al. Crisis Information Release Policy and Online Public Opinion Dissemination in Emergency of Hazardous Chemicals Leakage into River: A Multi-agent-based Model[J]. Management Review, 2016, 28(8): 175-185.)
[38] 王建亚, 宇文姝丽. 网络舆情生态系统的构成及运行机制研究[J]. 情报理论与实践, 2014, 37(1): 55-58.
[38] (Wang Jianya, Yuwen shuli. Research on the Composition and Operational Mechanism of the Online Public Opinion Ecology System[J]. Information Studies: Theory & Application, 2014, 37(1): 55-58.)
[39] 陈业华, 郭宏博. 突发事件社交网络舆情的扩散与控制[J]. 系统工程, 2017, 35(1): 58-62.
[39] (Chen Yehua, Guo Hongbo. The Diffusion and Control of Social Network Public Opinion of Emergencies[J]. Systems Engineering, 2017, 35(1): 58-62.)
[40] 王娟. 网络舆情监控分析系统构建[J]. 长春理工大学学报(高教版), 2007, 2(4): 201-203.
[40] (Wang Juan. Network Consensus Scout Analyze System Constructing[J]. Journal of Changchun University of Science and Technology (Higher Education Edition), 2007, 2(4): 201-203.)
[41] 王其藩. 系统动力学[M]. 上海: 上海财经大学出版社, 2009: 25-26.
[41] (Wang Qifan. System Dynamics[M]. Shanghai: Shanghai University of Finance and Economics Publishing House, 2009: 25-26.
[42] Vensim PLE. Vensim[EB/OL]. [2021-05-17]. https://vensim.com.
[43] 邓聚龙. 灰色预测与决策[M]. 武汉: 华中理工大学出版社, 1986: 3-4.
[43] (Deng Julong. Grey Forecast and Decision[M]. Wuhan: Huazhong University of Technology Publishing House, 1986: 3-4.)
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